Parallel and Distributed Processing


Teacher: Helen Karatza, Professor




Course Contents

Introduction to Parallel and Distributed Processing. General description of parallel and distributed processing systems. Shared memory systems - distributed memory systems. Performance evaluation, Amdahl’s Law. Processing in parallel and distributed systems - Cluster Computing - Grid Computing - Cloud Computing. Processing in Large Scale Distributed Systems. Parallel Programming. Use of MPI for distributed processing. High performance computing with use of GPU. Parallel and distributed processing applications. Algorithms for task assignment in parallel and distributed systems. Job Scheduling. Real time distributed Systems - Job scheduling in real time distributed systems - Periodic and aperiodic jobs.



   Supporting resources



   Evolution of systems for parallel and distribution processing









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